The original title is: "Disaggregated prefill and decode for LLM inference on SageMaker HyperPod"

Short summary

AWS demonstrates how to implement disaggregated prefill and decode (DPD) with vLLM on Amazon SageMaker HyperPod using the HyperPod Inference Operator. DPD separates the prefill and decode phases of LLM inference to improve throughput and resource utilization. The post is brief, focusing on the implementation approach.

• •DPD implementation with vLLM on SageMaker HyperPod
• •Uses HyperPod Inference Operator for orchestration
• •Separates prefill and decode phases for inference optimization

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